Displaying 20 results from an estimated 100000 matches similar to: "Problemas con NA y sub-selección por índice"
2013 Mar 14
1
ggplot2 problem
Hello all!
I have a problem with ggplot2 library. I want to do an heat map and the y
variables are the year months. If I use the following code, he y values are
in alphabetical order, but I want it in month order.
The code is:
library(reshape)
library(ggplot2)
library(scales)
p <- ggplot(data.m, aes(variable, Month)) + geom_tile(aes(fill = value),
2009 Jan 14
1
publication statistics from Web of Science
Dear list,
This is a bit of an off-topic question, but I'm hoping to get some
advice from more experienced people. I've used the website "Web of
Science" to manually collect publication counts responding to several
keywords as a function of date, since the 1960s.
http://apps.isiknowledge.com/RAMore.do?product=UA&search_mode=&SID=P1g9lFJp9 at
2013 Apr 01
0
ggplot2 label problem
I have a problem to plot label (Year) only for significant values (in this
case spoz and sneg).
I use this code, but don't work with labels.
library(ggplot2)
ggplot(data1, aes(x = Year, y = value,fill=type,width=1))+
geom_bar(stat="identity",position="identity")+
scale_y_continuous(breaks = round(seq(-100, 100, by = 10),10))+
theme_bw()
Thank you!
the data used is:
2006 Nov 26
1
adding elemens to a list
Hi,
I have a list of 20 elements, each of them of variable length and with a
structure like this:
lasker[[1]][1:10,]
Var1 Freq
1 1988-02 3
2 1988-03 1
3 1988-04 1
4 1988-05 2
5 1988-06 3
6 1988-07 1
7 1988-08 1
8 1988-09 1
9 1989-03 1
10 1989-04 1
How do I can insert in this list:
1988-01 0
1988-10 0
1988-11 0
1988-12 0
1989-01 0
2006 Nov 22
3
dataframe manipulation
Hi,
Having a dataframe 'l1' (dput output is below):
>dim(l1)
1274 2
>l1[1:12,]
Var1 Freq
1 1988-01-13 1
2 1988-01-16 1
3 1988-01-20 3
4 1988-01-25 2
5 1988-01-30 1
6 1988-02-01 5
7 1988-02-08 4
8 1988-02-14 1
9 1988-02-16 1
10 1988-02-18 4
11 1988-02-24 2
12 1988-03-04 1
I want to extract the times
2006 Nov 23
1
how to loop this?
Hi,
I have the next procedure:
t1<-data.frame(table(substr(names(subset(lasker[[1]], lasker[[1]] >=
4)), 1, 7)))
t1[1:5,]
Var1 Freq
1 1988-02 3
2 1988-03 1
3 1988-04 1
4 1988-05 2
5 1988-06 3
How to make a new list?, dataframe? having 189 elements in the 'lasker'
list:
> str(lasker[[1]])
'table' int [, 1:1274] 1 1 3 2 1 5 4 1 1 4 ...
-
2009 May 13
0
Plotting data with flot
I know this is not the right place to raise this question and at the
same time i do know that this is the right place to get the right
people. So, I am raising it over here (because i am struck in the
middle of nowhere). My question is like this:
how to add the zooming facility to the below data (extracted from
turning-series example of flot and something little changed). In this
zooming facility
2005 Apr 12
2
not plotting when non-existent
R-help,
I'm trying to plot the following:
year lgd
1 1986 136.97479
2 1987 69.10377
3 1988 67.66744
4 1989 71.60316
5 1990 62.06897
6 1992 6.25000
7 1993 27.72021
8 1995 23.83648
9 1996 10.29412
10 1997 95.67487
11 1998 82.09367
12 1999 56.60401
13 2000 29.80864
14 2001 23.77535
15 2002 48.30378
16 2003 83.47571
17 2004 74.58711
There are 2 missing years
2013 Mar 29
1
problem with data
Hello all!
I have a problem with my data in R. When I want to plot the following data,
I have a problem with y scale. The maximum value is cc. 10 degrees and in R
is about 100.
I use this code:
fasy<-read.table("gridd1.txt",sep="\t",dec=",",header=T,row.names=1)
# here are the years:
x <- as.numeric(rownames(fasy))
# extract a series that you want to plot:
y
2007 Dec 19
3
plot cummulative sum from calendar time
I have the following list of observations of calendar time:
[1] 03-Nov-1997 09-Oct-1991 27-Aug-1992 01-Jul-1994 19-Jan-1990 12-Nov-1993
[7] 08-Oct-1993 10-Nov-1982 08-Dec-1986 23-Dec-1987 02-Aug-1995 20-Oct-1998
[13] 29-Apr-1991 16-Mar-1994 20-May-1991 28-Dec-1987 14-Jul-1999 27-Nov-1998
[19] 09-Sep-1999 26-Aug-1999 20-Jun-1997 05-May-1995 26-Mar-1998 15-Aug-1994
[25] 24-Jun-1996 02-Oct-1996
2005 Sep 29
1
lmer random effect model matrix question
I have one fixed effect, sor, with two levels. I have eight lots and
three wafers from each lot. I have included the data below.
I would like to fit a mixed model that estimates a covariance parameter
for wafer, which is nested in lot, and two covariance parameters for
lot, one for each level of sor. The following command fits the model
that I want, except for it estimates the correlation
2010 Mar 10
2
ordering columns in a data frame
Dear R users,
I have the following data frame:
PROCHI date_admission
2 CAO0000713 1999-12-11
4 CAO0000713 1999-10-25
21 CAO0001743 1989-05-04
25 CAO0001743 1996-09-12
26 CAO0001743 1989-05-17
27 CAO0001743 1987-09-17
28 CAO0001743 1987-09-19
29 CAO0001743 1988-01-27
36 CAO0001747 2004-03-21
38 CAO0001747 2004-03-22
39
2005 Jun 15
4
Multiple line plots
Greetings,
I would like to plot three lines on the same figure, and I am lost. There is
an answer to a similar thread… but I tried matplot and it is beyond me. An
example of the data follows:
Year EM IM BM
1983 9.1 16.8 -7.7
1984 12.0 18.0 -6.0
1985 13.6 19.1 -5.5
1986 12.4 17.3 -4.9
1987 14.6 20.3 -5.7
1988 20.6 23.3 -2.6
1989 25.0 27.2 -2.2
1990 28.4 30.2 -1.8
1991 33.3 31.2 2.1
1992 40.6
2011 Sep 07
1
reshaping data
I have the following data (see RawData using dput below)
How do I get it in the following 3 column format (CO2 measurements are the
elements of the original data frame). I'm sure the package reshape is where
I should look, but I haven't figured out how.
Thanks ahead of time
Month Year CO2
J 1958
F 1958
M 1958 315.71
A 1958 317.45
M.1 1958 317.5
J.1 1958
J.2 1958 315.86
A.1 1958
2013 Mar 13
2
merge datas
Hello all!
I have a problem with R. I try to merge data like this:
structure(c(2.1785, 1.868, 2.1855, 2.5175, 2.025, 2.435, 1.809,
1.628, 1.327, 1.3485, 1.4335, 2.052, 2.2465, 2.151, 1.7945, 1.79,
1.6055, 1.616, 1.633, 1.665, 2.002, 2.152, 1.736, 1.7985, 1.9155,
1.7135, 1.548, 1.568, 1.713, 2.079, 1.875, 2.12, 2.072, 1.906,
1.4645, 1.3025, 1.407, 1.5445, 1.437, 1.463, 1.5235, 1.609, 1.738,
1.478,
2004 Mar 09
1
vector extraction
Hello,
I could need some help on this one:
>From the data.frame "Test.dataset2" below (TSCS data for 151
"countries.to.map" for "year" 1973-95; each "country.to.map" is described by
a unique code), I would like to extract a vector "color" that for each
"country.to.map" takes on the value of "dv" (a categorical variable with
2003 Apr 15
2
troubles with displaying legend on the plot
Dear colleagues,
I have troubles while trying to display legend on the plot.
I have data.frame fr
> fr
year M1 M2
1 1979 58.85198 56.77303
2 1980 57.59725 55.93749
3 1981 57.32133 55.55232
4 1982 54.69320 53.10566
5 1983 56.58973 55.03811
6 1984 58.81363 56.97641
7 1985 58.35583 56.82091
8 1986 60.41842 58.45457
9 1987
2005 Oct 01
1
Placing axes label strings closer to the graph?
Folks,
I have placed an example of a self-contained R program later in this
mail. It generates a file inflation.pdf. When I stare at the picture,
I see the "X label string" and "Y label string" sitting lonely and far
away from the axes. How can these distances be adjusted? I read ?par
and didn't find this directly.
I want to hang on to 2.8 x 2.8 inches as the overall size
2007 Feb 19
2
Calculating the Sharpe ratio
Hi useRs,
I am trying to calculate the Sharpe ratio with "sharpe" of the library
"tseries".
The documentation requires the univariate time series to be a
portfolio's cumulated returns. In this case, the example given
data(EuStockMarkets)
dax <- log(EuStockMarkets[,"FTSE"])
is however not the cumulated returns but rather the daily returns of the
FTSE
2002 May 31
2
error in seq.POSIXt?
I am trying to extract only the winters (defined to be 01-Dec through
28-Feb) of daily data from 1948-2002. There are 90 days in each winter
season. I wrote the following code to gather the winter dates into a
single vector:
DJF <- NULL
for(year in 1949:1999) {
temp.begin <- strptime(paste("01/12", year-1, sep="/"), "%d/%m/%Y")
temp.end <-